Consumes less than 1% CPU and 8MB memory under 800 concurrency.
slaver is single file and only depends on python(2.7/3.4+) standard library.
How it works
- Access company/school computer(no internet IP) from home
- Make private network/site public.
- Help private network penetration.
- Help CTF offline competitions.
- Connect to device with dynamic IP, such as ADSL
- Master: Python3.4+, OS independent
- Slaver: Python2.7/3.4+, OS independent
- no external dependencies, only python std lib
git clone https://github.com/aploium/shootback
- (optional) if you need a single-file slaver.py, run
- run these command
# master listen :10000 for slaver, :10080 for you python3 master.py -m 0.0.0.0:10000 -c 127.0.0.1:10080 # slaver connect to master, and use example.com as tunnel target # ps: you can use python2 in slaver, not only py3 python3 slaver.py -m 127.0.0.1:10000 -t example.com:80 # doing request to master curl -v -H "host: example.com" 127.0.0.1:10080 # -- some HTML content from example.com -- # -- some HTML content from example.com -- # -- some HTML content from example.com --
- a more reality example:
assume your master is 184.108.40.206 (just like the graph above)
# slaver_local_ssh <---> slaver <--> master(220.127.116.11) <--> You # ---- master ---- python3 master.py -m 0.0.0.0:10000 -c 0.0.0.0:10022 # ---- slaver ---- python(or python3) slaver.py -m 18.104.22.168:10000 -t 127.0.0.1:22 # ---- YOU ---- ssh 22.214.171.124 -p 10022
- for more help, please see
python3 master.py --helpand
python3 slaver.py --help
- run in daemon:
nohup python(or python3) slaver.py -m host:port -t host:port -q &
# screen is a linux command screen python(or python3) slaver.py -m host:port -t host:port # press ctrl-a d to detach screen # and if necessary, use "screen -r" to reattach
- ANY service using TCP is shootback-able. HTTP/FTP/Proxy/SSH/VNC/...
- shootback itself just do the transmission job, do not handle encrypt or proxy.
however you can use a 3rd party proxy (eg: shadowsocks) as slaver target.
- in windows, due to the limit of CPython
select.select(), shootback can NOT handle more than 512 concurrency, you may meet
ValueError: too many file descriptors in select()
If you have to handle such high concurrency in windows, Anaconda-Python3 is recommend, it's limit in windows is 2048
- in my laptop of intel I7-4710MQ, win10 x64:
- 1.6Gbits/s of loopback transfer (using iperf), with about 5% CPU occupation.
- 800 thread ApacheBench, with less than 1% CPU and 8MB memory consume